{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:09:59Z","timestamp":1740100199125,"version":"3.37.3"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001691","name":"JSPS KAKENHI","doi-asserted-by":"publisher","award":["JP20J13556 (HT),JP20K11882 (GT)"],"award-info":[{"award-number":["JP20J13556 (HT),JP20K11882 (GT)"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100016995","name":"JST CREST","doi-asserted-by":"publisher","award":["JPMJCR19K2"],"award-info":[{"award-number":["JPMJCR19K2"]}],"id":[{"id":"10.13039\/100016995","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533964","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["partial-FORCE: A fast and robust online training method for recurrent neural networks"],"prefix":"10.1109","author":[{"given":"Hiroto","family":"Tamura","sequence":"first","affiliation":[{"name":"The University of Tokyo,Graduate School of Engineering,Tokyo,Japan,113-8656"}]},{"given":"Gouhei","family":"Tanaka","sequence":"additional","affiliation":[{"name":"The University of Tokyo,Graduate School of Engineering,Tokyo,Japan,113-8656"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.conb.2017.06.003"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4241"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760407955"},{"key":"ref11","article-title":"Using firing-rate dynamics to train recurrent networks of spiking model neurons","author":"depasquale","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref5","article-title":"The &#x201C;echo state&#x201D; approach to analysing and training recurrent neural network","volume":"148","author":"jaeger","year":"0","journal-title":"GMD Report"},{"journal-title":"Adaptive Filter Theory","year":"1996","author":"haykin","key":"ref12"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2009.07.018"},{"key":"ref7","first-page":"609","article-title":"Adaptive nonlinear system identification with echo state networks","author":"jaeger","year":"2003","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4042"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0191527"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature12742"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533964.pdf?arnumber=9533964","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:32:50Z","timestamp":1659483170000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533964\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533964","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}